It’s a Match! A Knowledge based Recommendation System for Matching Technology with Events

Genildo Gomes, Isabelle Rêgo, Moises Gomes, Júlia Conceição, Artur Andrade, Tayana Conte, Thaís Castro, Bruno Gadelha

Abstract

The use of technologies to promote interaction and engagement at events is part of modern entertainment. In the different types of events, there are different technologies to increase this interaction. In scientific events, for example, organizers use voting platforms with the public; in music festivals, LED bracelets and the flash light of the smartphone are used; while in cultural and sports events, there are digital cheer leading thermometers. Considering the search by experts in the field of events and entertainment for new technologies, in this study, a recommendation system is proposed that relates different classification aspects of events in order to suggest a list of appropriate technologies for that event, based on knowledge bases built by the experience of experts. The proposed solution was evaluated through acceptance studies using the technology acceptance model (TAM), and interviews with six experts with experience in the area of production and organization of various events. Results indicate that users intend to use the platform to assist in the definition of technologies due to its innovative factor, among other information discussed in this paper.

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Paper Citation


in Harvard Style

Gomes G., Rêgo I., Gomes M., Conceição J., Andrade A., Conte T., Castro T. and Gadelha B. (2021). It’s a Match! A Knowledge based Recommendation System for Matching Technology with Events. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-509-8, pages 525-532. DOI: 10.5220/0010453605250532


in Bibtex Style

@conference{iceis21,
author={Genildo Gomes and Isabelle Rêgo and Moises Gomes and Júlia Conceição and Artur Andrade and Tayana Conte and Thaís Castro and Bruno Gadelha},
title={It’s a Match! A Knowledge based Recommendation System for Matching Technology with Events},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2021},
pages={525-532},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010453605250532},
isbn={978-989-758-509-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - It’s a Match! A Knowledge based Recommendation System for Matching Technology with Events
SN - 978-989-758-509-8
AU - Gomes G.
AU - Rêgo I.
AU - Gomes M.
AU - Conceição J.
AU - Andrade A.
AU - Conte T.
AU - Castro T.
AU - Gadelha B.
PY - 2021
SP - 525
EP - 532
DO - 10.5220/0010453605250532